Introducing sequential testing for LaunchDarkly Experimentation

Sequential testing offers a more flexible and efficient approach to experimentation compared to traditional Frequentist fixed-horizon testing by allowing for continuous evaluation of results and the possibility of stopping tests early when a clear outcome is achieved. This method reduces the time spent waiting for results and minimizes wasted resources, providing faster insights without sacrificing statistical confidence. It allows for mid-flight decisions, adapts to emerging data, and maintains rigorous statistical guarantees, which can be particularly beneficial for speeding up product iteration, managing resources, and maintaining real-world agility. LaunchDarkly supports sequential testing for Frequentist analyses, adjusting p-values and confidence intervals behind the scenes to ensure reliable results while advising caution with early reads.